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Turning Spreadsheets into Corporate Data

You're reading from   Turning Spreadsheets into Corporate Data Transform your spreadsheets into credible and reliable information

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781634622288
Length 140 pages
Edition 1st Edition
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Author (1):
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Bill Inmon Bill Inmon
Author Profile Icon Bill Inmon
Bill Inmon
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Table of Contents (16) Chapters Close

1. Introduction FREE CHAPTER
2. 1: Brief History of Spreadsheets 3. 2: Spreadsheet Paradox 4. 3: Spreadsheet Varieties 5. 4: The PDF Spreadsheet 6. 5: The Basics of Spreadsheet Formatting 7. 6: Spreadsheet Disambiguation 8. 7: The Intermediate Database 9. 8: The ssdef Database 10. 9: The Corporate Database 11. 10: The Mnemonic Dictionary 12. 11: Political Considerations Within the Organization 13. 12: Data Modeling and the Spreadsheet Environment 14. 13: Case Study
15. Glossary
16. Index

Editing Data in the Intermediate Database

As data is prepared to be entered into the final corporate database, there is one more step to complete: to edit out undesirable data.

It is normal for a spreadsheet to contain lots of types of data. Some of that data is vital, but other data on the spreadsheet may be of little or no importance. Data that is of little or no importance merely “clutters up” a database. Data of specious value makes more important data hard to find and use.

Therefore, it is a standard practice to “weed out” some data elements in the intermediate database. There are lots of ways to filter out the undesirable data. One way is to merely identify data that is desirable and delete everything else. Another way is to filter data with certain metadata characteristics.

This “weeding” process can be accomplished either automatically or manually, depending on the spreadsheet data.

Beyond editing, there are many other...

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